Introduction

FICT 607 | Data, Methods, and Models for Future Cities | Module 01

Dr. John McLevey

Knowledge Integration, Sociology & Legal Studies
University of Waterloo

Columns

Left. 🔥🔥🔥

Right. 🔥🔥🔥

Python

Using #| output-location: column-fragment puts the output in the adjacent column space.

print("hello world!")
hello world!

Python

import matplotlib.pyplot as plt
import seaborn as sns
tips = sns.load_dataset("tips")
tips.head()
total_bill tip sex smoker day time size
0 16.99 1.01 Female No Sun Dinner 2
1 10.34 1.66 Male No Sun Dinner 3
2 21.01 3.50 Male No Sun Dinner 3
3 23.68 3.31 Male No Sun Dinner 2
4 24.59 3.61 Female No Sun Dinner 4

Python

Output on the following slide…

sns.scatterplot(data=tips, x="total_bill", y="tip")
plt.show()

Python

In Development

Documentation

code.

Highlight Code

See lines 6-8.

import numpy as np
import matplotlib.pyplot as plt

r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
ax.plot(theta, r)
ax.set_rticks([0.5, 1, 1.5, 2])
ax.grid(True)
plt.show()

Highlight Code

See lines 7 and 9.

import numpy as np
import matplotlib.pyplot as plt

r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
ax.plot(theta, r)
ax.set_rticks([0.5, 1, 1.5, 2])
ax.grid(True)
plt.show()

Highlight Code

Finally, you can highlight different line ranges progressively by separating them with |. For example, here we start by showing all lines, then progress to highlighting line 6, and finally to highlighting line 9:

import numpy as np
import matplotlib.pyplot as plt

r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
ax.plot(theta, r)
ax.set_rticks([0.5, 1, 1.5, 2])
ax.grid(True)
plt.show()

print('Hi...')
Hi...

print('Hi...')
Hi...

Annotate Code

1import pymc
2print('Hello World')
3print('Hello World')
4print('Hello World')
5print('Hello World')
1
this is a test
2
this is a test
3
this is a test
4
this is a test
5
this is a test

In Development

Documentation

code.

Highlight Code

See lines 6-8.

import numpy as np
import matplotlib.pyplot as plt

r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
ax.plot(theta, r)
ax.set_rticks([0.5, 1, 1.5, 2])
ax.grid(True)
plt.show()

Highlight Code

See lines 7 and 9.

import numpy as np
import matplotlib.pyplot as plt

r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
ax.plot(theta, r)
ax.set_rticks([0.5, 1, 1.5, 2])
ax.grid(True)
plt.show()

Highlight Code

Finally, you can highlight different line ranges progressively by separating them with |. For example, here we start by showing all lines, then progress to highlighting line 6, and finally to highlighting line 9:

import numpy as np
import matplotlib.pyplot as plt

r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
ax.plot(theta, r)
ax.set_rticks([0.5, 1, 1.5, 2])
ax.grid(True)
plt.show()

print('Hi...')
Hi...

print('Hi...')
Hi...

https://www.johnmclevey.com/data-methods-models/

Footnotes

  1. See how it works?

  2. Yep.

  3. See how it works?

  4. Yep.